Update app.py

app.py

@@ -1,12 +1,68 @@
 from flask import Flask,render_template
 import face_recognition
 import sqlite3
- 
+
+#################
+from flask_socketio import SocketIO,emit
+import base64
+import numpy as np
+import cv2 
+import numpy as np
+from keras.models import load_model
+##################
+
+
+
 app = Flask (__name__ )
 
+#################
+app.config['SECRET_KEY'] = 'secret!'
+socket = SocketIO(app,async_mode="eventlet")
+#######################
+
+
+######################
 
+# load model and labels
+np.set_printoptions(suppress=True)
+model = load_model(r"keras_model.h5", compile=False)
+class_names = open(r"labels.txt", "r").readlines()
+
+def base64_to_image(base64_string):
+    # Extract the base64 encoded binary data from the input string
+    base64_data = base64_string.split(",")[1]
+    # Decode the base64 data to bytes
+    image_bytes = base64.b64decode(base64_data)
+    # Convert the bytes to numpy array
+    image_array = np.frombuffer(image_bytes, dtype=np.uint8)
+    # Decode the numpy array as an image using OpenCV
+    image = cv2.imdecode(image_array, cv2.IMREAD_COLOR)
+    return image
+
+@socket.on("connect")
+def test_connect():
+    print("Connected")
+    emit("my response", {"data": "Connected"})
+
+@socket.on("image")
+def receive_image(image):
+    # Decode the base64-encoded image data
+    image = base64_to_image(image)
+    image = cv2.resize(image, (224, 224), interpolation=cv2.INTER_AREA)
+    # emit("processed_image", image)
+    # Make the image a numpy array and reshape it to the models input shape.
+    image = np.asarray(image, dtype=np.float32).reshape(1, 224, 224, 3)
+    image = (image / 127.5) - 1
+    # Predicts the model
+    prediction = model.predict(image)
+    index = np.argmax(prediction)
+    class_name = class_names[index]
+    confidence_score = prediction[0][index]
+    emit("result",{"name":str(class_name),"score":str(confidence_score)})
+    #######################
+    
 @app.route ("/" )
-def firstpage():
+def home():
   return render_template ('index.html')
 
 @app.route ("/storedata" , methods =[ 'GET' ] )
@@ -41,5 +97,8 @@ def datafetch():
   con.close ()
   return render_template ('data.html', data = rows)
 
+
+
+
 if __name__ == '__main__' : 
-  app.run(host="0.0.0.0", port=7860)
+  app.run(app,host="0.0.0.0", port=7860)